An Estimation Method of Degree of Speaker's Anger Emotion with Acoustic and Linguistic Features

Arimoto, Yoshiko; Ohno, Sumio; Ida, Hitoshi

doi:10.5715/jnlp.14.3_147

Cited by 5 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of various acoustic features for analyzing emotion from speech has been reported in many studies [3,4,11,12,13]. From these features, we chose to use six basic acoustic features (f0 max , f0 mean , f0 range , power max , power mean , and speaking-rate).…”

Section: Acoustic Featuresmentioning

confidence: 99%

See 1 more Smart Citation

A method using acoustic features to detect inadequate utterances in medical communication

Kurisu

Mera

Wada

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

We previously proposed a method that uses grammatical features to detect inadequate utterances of doctors. However, nonverbal information such as that conveyed by gestures, facial expression, and tone of voice are also important. In this paper, we propose a method that uses eight acoustic features to detect three types of mental states (sincerity, confidence, and doubtfulness/acceptance). A Support Vector Machine (SVM) is used to learn these features. Experiments showed that the system's accuracy and recall rates respectively ranged from 0.79-0.91 and 0.80-0.94.

show abstract

Section: Acoustic Featuresmentioning

confidence: 99%

“…Finally, one selects a support vector machine with minimal VC dimension by solving (11) and computing (12) from (14).…”

Section: The Classifier (1) Is Designed By Solvingmentioning

confidence: 99%

A method using acoustic features to detect inadequate utterances in medical communication

Kurisu

Mera

Wada

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

show abstract

“…The nine acoustic parameters were prepared for our analysis with reference to [13]. The sampling frequency of each utterance was down-sampled at 16 kHz from 48 kHz.…”

Section: Parameter Extractionmentioning

confidence: 99%

Naturalistic emotional speech collection paradigm with online game and its psychological and acoustical assessment

Arimoto

Kawatsu

Ohno

et al. 2012

Acoust. Sci. & Tech.

Self Cite

View full text Add to dashboard Cite

For the purpose of constructing a naturalistic emotional speech database, a novel paradigm of collecting naturalistic emotional speech during a spontaneous Japanese dialog was proposed. The proposed paradigm was assessed by investigating whether the collected speech contains and conveys rich emotions psychologically and acoustically. To encourage speakers to experience and express their natural and vivid emotions, a Massively Multiplayer Online Role-Playing Game (MMORPG) was adopted as a task for speakers. They were asked to play the MMORPG together while discussing strategies to achieve their tasks through a voice chat system. The recording was performed for one hour per speaker. The total recording time was approximately 14 hours. The results of emotional labeling for the collected speech supported the validity of the paradigm showing higher interlabeler agreement than the chance levels. In addition, it was revealed that the paradigm is superior in the quantity of emotional speech to other paradigm by showing a significantly higher rate of labeling instances for our speech material (73%, 2 ð2Þ ¼ 27659:87, p < 0:001) than other speech materials. Finally, an acoustical analysis supported the validity of the paradigm, showing a significant difference between the nonemotional utterances and the emotional utterances (p < 0:05).

show abstract

Amused speech components analysis and classification: Towards an amusement arousal level assessment system

Haddad

Çakmak

Dupont

et al. 2017

Computers & Electrical Engineering

View full text Add to dashboard Cite

An Estimation Method of Degree of Speaker's Anger Emotion with Acoustic and Linguistic Features

Cited by 5 publications

References 0 publications

A method using acoustic features to detect inadequate utterances in medical communication

A method using acoustic features to detect inadequate utterances in medical communication

Naturalistic emotional speech collection paradigm with online game and its psychological and acoustical assessment

Amused speech components analysis and classification: Towards an amusement arousal level assessment system

Contact Info

Product

Resources

About